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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/yifanzhang-pro/automathtext

공식 코드

Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts

https://github.com/yifanzhang-pro/matrix-llm

공식 코드

Matrix Information Theory for Self-Supervised Learning

https://github.com/yifanzhang-pro/matrix-ssl

공식 코드

Matrix Information Theory for Self-Supervised Learning

https://github.com/yiwei98/esc

공식 코드

Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning

https://github.com/yoshikitakashima/scheherazade-code-data

공식 코드

Scheherazade: Evaluating Chain-of-Thought Math Reasoning in LLMs with Chain-of-Problems

https://github.com/yule-buaa/mergelm

공식 코드

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

https://github.com/yuxixie/coral

공식 코드

COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement

https://github.com/zhaoxlpku/promptcot

공식 코드

PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models

https://github.com/zhentingqi/rstar

공식 코드

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

https://github.com/zhijie-group/sift

공식 코드

SIFT: Grounding LLM Reasoning in Contexts via Stickers

https://github.com/zirui-hit/bridge_for_numerical_reasoning

공식 코드

Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning

https://github.com/zju-real/self-braking-tuning

공식 코드

Let LLMs Break Free from Overthinking via Self-Braking Tuning

https://github.com/zoeyyao27/gkt

공식 코드

GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment

https://github.com/zoeyyao27/graph-of-thought

공식 코드

Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models

https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/baichuan

Baichuan 2: Open Large-scale Language Models

https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/chatglm

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

https://github.com/Infini-AI-Lab/gsm_infinite

Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process

https://github.com/MARIO-Math-Reasoning/Super_MARIO

MARIO: MAth Reasoning with code Interpreter Output -- A Reproducible Pipeline

https://github.com/QwenLM/Qwen2.5-Omni

Qwen2.5-Omni Technical Report

https://github.com/RUCAIBox/LLMBox

PAL: Program-aided Language Models

https://github.com/TianduoWang/MsAT

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

https://github.com/agentica-project/verl-pipeline

Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization

https://github.com/allanj/dynamic-pal

PAL: Program-aided Language Models

https://github.com/arcee-ai/EvolKit

Automatic Instruction Evolving for Large Language Models

https://github.com/bowen-upenn/llm_token_bias

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

https://github.com/chang-github-00/llm-predictive-decoding

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

https://github.com/cluebenchmark/superclue-math6

SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in Chinese

https://github.com/codelion/optillm/blob/main/optillm/leap.py

In-Context Principle Learning from Mistakes

https://github.com/codelion/optillm/blob/main/optillm/mcts.py

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

https://github.com/codelion/optillm/blob/main/optillm/rstar.py

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

https://github.com/codelion/optillm/blob/main/optillm/self_consistency.py

Self-Consistency Improves Chain of Thought Reasoning in Language Models

https://github.com/coldmist-lu/erroranalysis_prompt

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

https://github.com/expz/quiet-star

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

https://github.com/facebookresearch/coconut

Training Verifiers to Solve Math Word Problems

https://github.com/fatebreaker/RARE

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

https://github.com/finitearth/promptolution

Large Language Models as Optimizers

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